A logistics engineer finds where goods, time and money are being wasted in a supply chain and designs a better way: a shorter route, a smarter warehouse layout, a leaner process, a cheaper network. The job is part math, part data, part walking the floor and listening to people. Most hires hold a bachelor's degree (industrial, systems, or supply chain engineering, or a related field), but the proof you can do the work matters most: a clean Excel model, SQL queries, a dashboard, and a clear recommendation. This roadmap takes you from spreadsheet and math basics, to analysis you can show an emplo
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Every stage from beginner to expert, with lessons, practice drills, projects, interview questions and free resources. Free with a Rolearch account.
Stage 1 of 3 · about 10 weeks
Understand how goods flow through a supply chain and build the spreadsheet, math and data habits every logistics analysis relies on.
Supply chain and logistics basics
You cannot improve a flow you cannot describe. Knowing the vocabulary (lead time, safety stock, cross-docking, LTL vs FTL, SKU, throughput) lets you follow what operations staff tell you and spot where cost hides.
Excel for analysis
Excel is the tool named first in the job data. Most logistics studies, from rate comparisons to simple forecasts, start here and many end here.
Applied math and statistics
Logistics runs on averages, variability and rates. Understanding standard deviation, distributions and unit conversions keeps you from drawing wrong conclusions from noisy demand data.
Process mapping and flowcharts
Core tasks include process and methods analysis and writing standard operating procedures. A clear map shows everyone the same picture before you try to change it.
Clear technical writing
Writing and reading comprehension top the skills list. Your analysis only changes anything if a manager can read your one-page summary and say yes.
Then 2 more stages (about 46 weeks in all) with lessons, drills, projects, 6 interview questions with strong answers and free resources.